#cache locality
32 related articles
·4 min
24 Hours, No AI, Zero to Rust: Building a Game from Scratch — A Full Account
A YouTuber spent 24 hours learning Rust from zero with no AI tools, mastering ownership, borrowing, and a game engine to build a complete Brick Breaker game. Full account of every challenge.
Read more →
·4 min
Ternlight: A 7MB Browser-Side Embedding Model for Server-Free Semantic Search
Ternlight is a 7MB WebAssembly-based browser-side text embedding model requiring no server or GPU. Explore its tech, use cases, and tradeoffs for private, offline semantic search.
Read more →
·7 min
Dispersion Loss: A Key Technique for Solving Embedding Condensation in Small Language Models
Embedding condensation is a hidden bottleneck in small language model training. Dispersion Loss combats this by enforcing representation spread during training at zero inference cost.
Read more →
NVIDIA GQE Deep Dive: How GPU Query En…
·2 min
NVIDIA GQE Deep Dive: How GPU Query Engines Break Through Memory Bandwidth Bottlenecks
A deep dive into NVIDIA GQE's architecture: how HBM, NVLink, and memory-hierarchy-aware execution models help GPU query engines overcome I/O and bandwidth bottlenecks.
Read more →
·4 min
Python Tutorial: Build a Gomoku Game from Scratch with Pygame
Build a complete Gomoku game in Python using Pygame. Covers board rendering, mouse events, win detection, and game state management — great for beginners.
Read more →
·6 min
14x Speedup: How Manticore Rebuilt the ONNX Embedding Inference Path
Manticore Search restructured its ONNX inference path to achieve 14x faster text embeddings. Deep dive into batching, session reuse, zero-copy memory, and thread tuning for vector search systems.
Read more →
·2 min
Building an FPS Game with ECS Architecture and AI: A First-Person Shooter from Scratch
Learn how to build an FPS game from scratch using ECS architecture (Entity-Component-System) and AI-assisted coding, featuring movement, shooting, magazine management, and minimap.
Read more →
·3 min
Deep Module Architecture in Practice: Fixing a Codebase Wrecked by AI
Is AI-assisted coding making your codebase messier? Learn deep modules, seams, and adapters from A Philosophy of Software Design to systematically fix your architecture.
Read more →
Research·1 min
Stack Allocation: How Escape Analysis Replaces Heap with Stack for Memory Optimization
Deep dive into stack allocation memory optimization: escape analysis principles, compiler implementation, and real-world performance impact through reducing heap allocations and GC pressure.
Read more →
Deep Dives·3 min
NVIDIA Vera Rubin Platform Deep Dive: Solving the Scalability Challenge of Agentic AI Inference
Deep dive into NVIDIA's Vera Rubin platform Pod-level architecture and next-gen NVLink, revealing how it solves Agentic AI inference scalability bottlenecks and the industry shift from training-first to inference-first.
Read more →
Expert Opinions·3 min
Zig Creator on AI Code Ban: You Can Smoke, But Not in My House
Zig creator Andrew Kelley uses a smoking analogy to address the AI code ban controversy: developers can use AI tools, but Zig's codebase won't accept LLM-assisted contributions.
Read more →
Product Reviews·2 min
nmem Open-Source Project Explained: A Six-Layer Memory Architecture That Makes AI Agents Smarter Over Time
Deep dive into nmem, an open-source AI Agent memory system featuring a six-layer memory hierarchy, hybrid search, confidence decay, cross-agent knowledge sharing, MCP integration, and more.
Read more →